No description available.

Alstom Power Sweden AB in Norrköping isexpanding their business in the presentsituation and has implemented aprocedure for reverse engineering as apart of this work. Reverse engineeringat Alstom is an extensive procedurethat is calculated to be performedunder very time demanding conditions. This thesis is a continued exertion ofthe implementation process in order toidentify and describe the mostimportant process steps in purpose to beable to manage and improve theprocess.This thesis was written with twoprimary objectives. The first was todescribe and map out the procedure torecreate technical data of a turbineblade, based on a validation of thereverse engineering process that hasbeen performed at Alstom in Norrköping.The second purpose was to describe thekey factors to achieve successful usageof reverse engineering that have beennoticed in the literature study. The work is based on a literature studyon the subject reverse engineeringwhich produced the theoreticalknowledge of the method to reproducetechnical data to a product. Theliterature study has also led to adescription of reverse engineering froma legal perspective to clarify how farit is allowed to apply the methodaccording to the patent laws. With theliterature study as support and furtherhelp and guidance from individualswithin the reverse engineering unit atAlstom, a complete picture andunderstanding of the process has beenproduced and documented.

Zugl.: Köln, Univ., Diss., 2008/2009

Graduate

No description available.

Thesis (PhD)--University of South Australia, 2001

Stuttgart, Univ., Diplomarb., 2002.

Zugl.: Saarbrücken, Univ., Diss., 2009

Zugl.: Hannover, Universiẗat, Diss., 2009.

Reverse engineering of geometric models is the process of creating a computer aided model from an existing physical part so that subsequent manufacturing processes may be implemented. Applications of reverse engineering can range from the production of molds and dies from wood or clay models to the creation of replacement parts from worn existing machinery. In reverse engineering, both contact and non-contact measurement probes are used to gather measured surface points. However, due to the nature of these instruments, both the direction of the probe during measurement and the conversion of the gathered data to the appropriate computer aided models are currently very difficult. This thesis addresses some of these problems. A stereo vision system employing neural network based image segmentation is implemented to automatically generate probe paths for either a touch trigger probe or an optical laser scanner. A fuzzy logic based iterative geometry fitting algorithm is used to fit geometric primitives to measured surface data. As modern computer aided drafting programs utilise parametric modelling methods and topology information, regarding the association of neighbouring surface patches is determined from the fitted geometric entities. Finally, utilising the extracted geometric and topology information, specific surface features, such as comers, slots and steps are detected using a feed-forward neural network. The computational tools in this thesis provide methods that reduce the time and effort required to geometrically reverse engineer an existing physical object. / Graduate